Zhiguo Zhang

Modulating Prestimulus Alpha and Beta Power with tRNS Establishes Their Causal Role in Visual Perception

This study shows that tRNS modulates prestimulus alpha and beta power, affecting visual perception, with alpha having a stronger effect under low fatigue.

Genomic and transcriptomic profiles influence on brain morphology and their interactions with pain sensitivity individual differences

This study investigates how genomic and transcriptomic profiles interact with brain morphology to influence individual differences in pain sensitivity using multi-omics data from 432 participants.

Decoded EEG Neurofeedback-Guided Cognitive Reappraisal Training for Emotion Regulation

This study develops an EEG neurofeedback-guided cognitive reappraisal training protocol for emotion regulation, showing improved performance for low positive valence stimuli with real-time feedback.

Unveiling Convergent and Divergent Intrinsic Brain Network Alternations in Depressed Adolescents Engaged Non-Suicidal Self-Injurious Behaviors with and without Suicidal Attempts

Explorations of using a convolutional neural network to understand brain activations during movie watching

This study uses a pre-trained CNN to link video content to brain activations during movie watching, finding associations between CNN layers and specific brain regions.

A Brain-Wide Genome-Wide Association Study of Candidate Quantitative Trait Loci Associated with Structural and Functional Phenotypes of Pain Sensitivity

This study performs a brain-wide GWAS to identify genetic loci associated with structural and functional brain phenotypes of pain sensitivity, finding candidate loci in the right insula and CYP2D6 gene.

Reactivating Positive Personality Traits During Sleep Promotes Positive Self-Referential Processing

The paper shows that combining wakeful training with sleep-based memory reactivation enhances positive self-referential processing.

Whole-Brain fMRI Functional Connectivity Signatures Predict Sustained Emotional Experience in Naturalistic Contexts

The paper uses fMRI to decode sustained emotional states during naturalistic movie viewing and identifies specific functional connectivity patterns associated with happiness and sadness.

A Multi-subject, Multi-session, and Multi-task database for EEG-based Biometrics Challenge

The paper introduces a large-scale EEG database and competition to study EEG commonality and variability across subjects, sessions, and tasks, aiming to improve machine learning algorithms for EEG-based biometrics.

Dynamic and stationary brain connectivity during movie watching as revealed by functional MRI

The paper examines dynamic and stationary brain connectivity during movie watching using fMRI, finding that dynamic connectivity varies with movie content while stationary connectivity remains consistent across clips.

Estimations of the weather effects on brain functions using functional MRI: a cautionary note

This study shows that weather effects on brain functions cannot be reliably detected using fMRI, as prediction accuracies are due to MRI scanner baseline signals rather than actual brain responses.

EEG Microstate Correlates of Emotion Dynamics and Stimulation Content during Video Watching

This study investigates how EEG microstates are modulated by emotion dynamics and multimedia stimulation during video watching, revealing specific microstate patterns associated with different emotional states and content types.

Understanding psychophysiological interaction and its relations to beta series correlation

The paper clarifies the interpretation of psychophysiological interaction (PPI) and its relationship to beta series correlation (BSC) in fMRI data analysis.